{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import xlrd\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "plt.rcParams['font.sans-serif'] = ['FangSong'] # 指定默认字体  \n",
    "plt.rcParams['axes.unicode_minus'] = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "Mscore=pd.read_excel('./体测分数_男生.xls')\n",
    "Fscore=pd.read_excel('./体测分数_女生.xls')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>男1000米跑</th>\n",
       "      <th>男1000米跑分数</th>\n",
       "      <th>男50米跑</th>\n",
       "      <th>男50米跑分数</th>\n",
       "      <th>男跳远</th>\n",
       "      <th>男跳远分数</th>\n",
       "      <th>男体前屈</th>\n",
       "      <th>男体前屈分数</th>\n",
       "      <th>男引体</th>\n",
       "      <th>男引体分数</th>\n",
       "      <th>男肺活量</th>\n",
       "      <th>男肺活量分数</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.13</td>\n",
       "      <td>72</td>\n",
       "      <td>8.88</td>\n",
       "      <td>66</td>\n",
       "      <td>195</td>\n",
       "      <td>60</td>\n",
       "      <td>12</td>\n",
       "      <td>74</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2785</td>\n",
       "      <td>62</td>\n",
       "      <td>170</td>\n",
       "      <td>72.599998</td>\n",
       "      <td>25.120001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.16</td>\n",
       "      <td>70</td>\n",
       "      <td>7.70</td>\n",
       "      <td>78</td>\n",
       "      <td>225</td>\n",
       "      <td>74</td>\n",
       "      <td>11</td>\n",
       "      <td>74</td>\n",
       "      <td>7</td>\n",
       "      <td>60</td>\n",
       "      <td>3133</td>\n",
       "      <td>68</td>\n",
       "      <td>174</td>\n",
       "      <td>52.700001</td>\n",
       "      <td>17.410000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.09</td>\n",
       "      <td>74</td>\n",
       "      <td>8.45</td>\n",
       "      <td>70</td>\n",
       "      <td>218</td>\n",
       "      <td>70</td>\n",
       "      <td>14</td>\n",
       "      <td>78</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3901</td>\n",
       "      <td>80</td>\n",
       "      <td>169</td>\n",
       "      <td>46.500000</td>\n",
       "      <td>16.280001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.21</td>\n",
       "      <td>68</td>\n",
       "      <td>8.05</td>\n",
       "      <td>74</td>\n",
       "      <td>206</td>\n",
       "      <td>64</td>\n",
       "      <td>13</td>\n",
       "      <td>76</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4946</td>\n",
       "      <td>100</td>\n",
       "      <td>183</td>\n",
       "      <td>79.699997</td>\n",
       "      <td>23.799999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.44</td>\n",
       "      <td>85</td>\n",
       "      <td>7.52</td>\n",
       "      <td>78</td>\n",
       "      <td>210</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>76</td>\n",
       "      <td>9</td>\n",
       "      <td>68</td>\n",
       "      <td>3538</td>\n",
       "      <td>74</td>\n",
       "      <td>171</td>\n",
       "      <td>54.700001</td>\n",
       "      <td>18.709999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   班级 性别  男1000米跑  男1000米跑分数  男50米跑  男50米跑分数  男跳远  男跳远分数  男体前屈  男体前屈分数  男引体  \\\n",
       "0   1  男     4.13         72   8.88       66  195     60    12      74    1   \n",
       "1   1  男     4.16         70   7.70       78  225     74    11      74    7   \n",
       "2   1  男     4.09         74   8.45       70  218     70    14      78    1   \n",
       "3   1  男     4.21         68   8.05       74  206     64    13      76    1   \n",
       "4   1  男     3.44         85   7.52       78  210     66    13      76    9   \n",
       "\n",
       "   男引体分数  男肺活量  男肺活量分数   身高         体重        BMI  \n",
       "0      0  2785      62  170  72.599998  25.120001  \n",
       "1     60  3133      68  174  52.700001  17.410000  \n",
       "2      0  3901      80  169  46.500000  16.280001  \n",
       "3      0  4946     100  183  79.699997  23.799999  \n",
       "4     68  3538      74  171  54.700001  18.709999  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Mscore.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>女800米跑</th>\n",
       "      <th>女800米跑分数</th>\n",
       "      <th>女50米跑</th>\n",
       "      <th>女50米跑分数</th>\n",
       "      <th>女跳远</th>\n",
       "      <th>女跳远分数</th>\n",
       "      <th>女体前屈</th>\n",
       "      <th>女体前屈分数</th>\n",
       "      <th>女仰卧</th>\n",
       "      <th>女仰卧分数</th>\n",
       "      <th>女肺活量</th>\n",
       "      <th>女肺活量分数</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.22</td>\n",
       "      <td>100</td>\n",
       "      <td>9.32</td>\n",
       "      <td>72</td>\n",
       "      <td>185</td>\n",
       "      <td>85</td>\n",
       "      <td>16</td>\n",
       "      <td>76</td>\n",
       "      <td>48</td>\n",
       "      <td>85</td>\n",
       "      <td>3775</td>\n",
       "      <td>100</td>\n",
       "      <td>163.0</td>\n",
       "      <td>51.299999</td>\n",
       "      <td>19.309999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.59</td>\n",
       "      <td>40</td>\n",
       "      <td>11.44</td>\n",
       "      <td>10</td>\n",
       "      <td>148</td>\n",
       "      <td>60</td>\n",
       "      <td>9</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>66</td>\n",
       "      <td>3683</td>\n",
       "      <td>100</td>\n",
       "      <td>163.0</td>\n",
       "      <td>66.599998</td>\n",
       "      <td>25.070000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.46</td>\n",
       "      <td>80</td>\n",
       "      <td>13.40</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>60</td>\n",
       "      <td>7</td>\n",
       "      <td>64</td>\n",
       "      <td>40</td>\n",
       "      <td>76</td>\n",
       "      <td>3331</td>\n",
       "      <td>100</td>\n",
       "      <td>157.0</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>24.340000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.39</td>\n",
       "      <td>85</td>\n",
       "      <td>9.52</td>\n",
       "      <td>70</td>\n",
       "      <td>172</td>\n",
       "      <td>76</td>\n",
       "      <td>21</td>\n",
       "      <td>90</td>\n",
       "      <td>46</td>\n",
       "      <td>85</td>\n",
       "      <td>3701</td>\n",
       "      <td>100</td>\n",
       "      <td>160.0</td>\n",
       "      <td>50.700001</td>\n",
       "      <td>19.799999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.43</td>\n",
       "      <td>80</td>\n",
       "      <td>9.79</td>\n",
       "      <td>68</td>\n",
       "      <td>145</td>\n",
       "      <td>50</td>\n",
       "      <td>8</td>\n",
       "      <td>64</td>\n",
       "      <td>34</td>\n",
       "      <td>70</td>\n",
       "      <td>3592</td>\n",
       "      <td>100</td>\n",
       "      <td>167.0</td>\n",
       "      <td>63.900002</td>\n",
       "      <td>22.910000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   班级 性别  女800米跑  女800米跑分数  女50米跑  女50米跑分数  女跳远  女跳远分数  女体前屈  女体前屈分数  女仰卧  \\\n",
       "0   1  女    3.22       100   9.32       72  185     85    16      76   48   \n",
       "1   1  女    4.59        40  11.44       10  148     60     9      66   29   \n",
       "2   1  女    3.46        80  13.40        0  150     60     7      64   40   \n",
       "3   1  女    3.39        85   9.52       70  172     76    21      90   46   \n",
       "4   1  女    3.43        80   9.79       68  145     50     8      64   34   \n",
       "\n",
       "   女仰卧分数  女肺活量  女肺活量分数     身高         体重        BMI  \n",
       "0     85  3775     100  163.0  51.299999  19.309999  \n",
       "1     66  3683     100  163.0  66.599998  25.070000  \n",
       "2     76  3331     100  157.0  60.000000  24.340000  \n",
       "3     85  3701     100  160.0  50.700001  19.799999  \n",
       "4     70  3592     100  167.0  63.900002  22.910000  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Fscore.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1、对男1000米跑、男引体进行等宽分箱操作，分成3份，并使用饼图绘制百分比"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.98, '男1000米跑&男引体')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(9,6))\n",
    "plt.subplot(121)\n",
    "M1=pd.cut(x=Mscore['男1000米跑'],bins=3).value_counts()\n",
    "_=plt.pie(M1.values,labels=M1.index,autopct='%0.2f%%')\n",
    "plt.title(label='男1000米跑',fontsize=18, weight='bold', color='white',backgroundcolor='#c5b783',pad = 20 )\n",
    "\n",
    "plt.subplot(122)\n",
    "M2=pd.cut(x=Mscore['男引体'],bins=3).value_counts()\n",
    "_=plt.pie(M2.values,labels=M2.index,autopct='%0.2f%%')\n",
    "plt.title(label='男引体',fontsize=18, weight='bold', color='white',backgroundcolor='#c5b783',pad = 20 )\n",
    "\n",
    "plt.suptitle(t='男1000米跑&男引体',fontsize=24)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2、对女800米跑、女跳远进行直方图绘制统计各分数段人数，分成4份"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.98, '女800米跑分数 & 女跳远分数')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,7))\n",
    "plt.subplot(121)\n",
    "plt.hist(Fscore['女800米跑分数'],bins=4,)\n",
    "plt.legend(labels=('女800米跑分数',),fontsize = 14,loc = 'upper left')\n",
    "plt.grid(alpha=0.45)\n",
    "\n",
    "plt.subplot(122)\n",
    "plt.hist(Fscore['女跳远分数'],bins=4,color='#c5b783')\n",
    "plt.grid(alpha=0.45)\n",
    "plt.legend(labels=('女跳远分数',),fontsize = 14,loc = 'upper left')\n",
    "plt.suptitle(t='女800米跑分数 & 女跳远分数',fontsize=20,weight='bold' )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3、使用嵌套饼图对比男女生体重指数进行比例统计"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def Mconvert(x):\n",
    "    if (x>=16.5)& (x<=23.2):\n",
    "        return '正常'\n",
    "    elif x<=16.4:\n",
    "        return '低体重'\n",
    "    elif (x>=23.3)& (x<=26.3):\n",
    "        return '超重'\n",
    "    else:\n",
    "        return '肥胖'\n",
    "Mscore['BMI分类']=Mscore['BMI'].apply(Mconvert)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "正常     352\n",
       "超重      58\n",
       "肥胖      43\n",
       "低体重     24\n",
       "Name: BMI分类, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Mscore['BMI分类'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def Fconvert(x):\n",
    "    if (x>=16.5)& (x<=22.7):\n",
    "        return '正常'\n",
    "    elif x<=16.4:\n",
    "        return '低体重'\n",
    "    elif (x>=22.8)& (x<=25.2):\n",
    "        return '超重'\n",
    "    else:\n",
    "        return '肥胖'\n",
    "Fscore['BMI分类']=Fscore['BMI'].apply(Fconvert)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "正常     438\n",
       "超重      74\n",
       "肥胖      66\n",
       "低体重     15\n",
       "Name: BMI分类, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Fscore['BMI分类'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '男女生体重指数进行比例统计')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p1 = Mscore['BMI分类'].value_counts()# 外圈\n",
    "p2 = Fscore['BMI分类'].value_counts() # 内圈\n",
    "\n",
    "plt.figure(figsize=(12,9))\n",
    "plt.pie(p1.values,radius=1,\n",
    "        autopct='%0.2f%%',\n",
    "        pctdistance=0.85,\n",
    "        labels = p1.index,\n",
    "        wedgeprops={'linewidth':5,# 间隔的宽度\n",
    "                    'width':0.3, # 饼图的宽度\n",
    "                    'edgecolor':'white'},# 间隔的颜色\n",
    "        textprops={'family':'FangSong','fontsize':18})\n",
    "\n",
    "_ = plt.pie(p2.values,\n",
    "        radius=0.7,\n",
    "        autopct='%0.2f%%',\n",
    "        pctdistance=0.55,\n",
    "        wedgeprops={'linewidth':5,# 间隔的宽度\n",
    "                    'width':0.7, # 饼图的宽度\n",
    "                    'edgecolor':'white'})# 间隔的颜色\n",
    "\n",
    "# plt.rcParams['font.family'] = 'FangSong' # 全局设置\n",
    "# plt.rcParams['font.size'] = 18\n",
    "plt.title(label='男女生体重指数进行比例统计',fontsize=24,weight='bold', color='white',backgroundcolor='#c5b783',pad = 20)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
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   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
